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LeadFull-timePythonAWSMachine LearningAIAPIML
Salary Range
$114,750 - $155,250 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Principal Data Engineer to join the Data Engineering team at Trainline. This role involves operating across multiple teams, embedding best practices, raising engineering standards, and enabling ambitious data, ML, and AI initiatives.
Key Responsibilities
- →Act as a technical authority across multiple teams, setting standards and patterns for data and ML-adjacent infrastructure
- →Embed with ML teams to design, build, and evolve data platforms supporting AI and ML workloads
- →Influence technical direction without direct line management responsibility
- →Partner with Data Engineering teams outside of ML to build a community and share best practices and findings
- →Identify systemic issues and proactively drive improvements across the data ecosystem
- →Look for short-term and strategic opportunities to enhance core platforms with new self-serve enablement features
Requirements
- ✓Extensive experience as a Senior, Staff, or Principal Data Engineer operating across teams
- ✓Deep expertise in SQL and Python, with strong experience in Spark or similar tooling
- ✓Strong understanding of orchestration tools such as Apache Airflow
- ✓Experience designing data platforms for ML and AI workloads
- ✓A track record of introducing new technologies and practices, and handling ambiguity and multiple stakeholders
- ✓Hands-on experience with AWS infrastructure (e.g., ECS, IAM, data storage, compute)
- ✓Familiarity with vector databases and modern AI/ML APIs (e.g., Bedrock)
- ✓Experience working closely with Machine Learning Engineers in production environments
- ✓Strong system design skills and the ability to influence through technical leadership
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